Need some information here….
(Please confirm this)
Date of amelioration: Additional information on strips:
One-way ANOVA followed by Tukey’s HSD post-hoc test at 95% confidence (p < 0.05), where treatments sharing the same letter are not significantly different from each other, while treatments with different letters have statistically significant differences in their means. The error bars on the plot at the Q1 and Q3 values.
Anlaysis performed but sample size is very low and results not plotted
There are many different ways to analyse yield monitor data. Yield data is often noisy, so thinning, cleaning, and trimming are usually recommended. Yield data is also frequently kriged to interpolate missing values and generate a map.
Strip trials add complexity to this process. Long, unreplicated strips within a paddock are difficult to krige. In some trials, low or zero yield values may be real, but standard cleaning and trimming methods may remove these values. Retaining zero values add complexity to statical analysis.
The workflow below represents just one approach for analysing strip trial yield data collected from a yield monitor. Further refinement and testing are needed to optimise the method. Current Workflow
Harvest data from the yield monitor (processed in QGIS using Christina Tools, an extension of PAT):
Strip ladder polygons (in QGIS using Christina Tools):
Analysis in R:
Note 2 headers operated at Walpeup MRS125, found it!